Bystander

Bystander provides data seekers with a scalable and verifiable solution to collect on-the-ground data.

What is Bystander

Bystander is a protocol that allows for individuals and entities to collect targeted primary data globally. Bystander takes the best aspects of today’s methods of crowdsourcing primary data and combines it with a more effective way to ensure data integrity using blockchain technology.

Current data crowdsourcing methods are complicated, slow and siloed and it remains challenging to collect high integrity data. IoT devices and sensors do not sufficiently capture all useful real-world data.

sources

USE CASES

  • Geogrphic

    Geographic / Agricultural Data

    Gather data on crops in Chile, exploring sickness and genetic diversity.

  • Civil Data

    Civil Data

    Colllect municipal data in the city of New York (potholes / broken traffic lights) to guide repair decisions.

  • Economic Data

    Economic Data

    Track price inflation in India by collecting data on the price of tomatoes over three years

  • Civil Data

    Business Market Research

    Refine your product’s go-to-market strategy in new countries by understanding your target demographics sentiment.

OUR MODEL

As a data seeker, there are two types of data collection initiatives you can launch: community driven and proprietary. Community driven initiatives are voted and selected by the network, data collectors are compensated through block rewards, and the data collected is freely available for public consumption. Proprietary initiatives can also launched privately where data seekers compensate data collectors directly for their services and the data is privately consumed.

By mixing the right incentives and governance mechanisms the network facilitates the autonomous collection of high quality primary data to create a database, benefiting communities, researchers and policymakers

Customers input requirementsinto portal
Collectors use IOT devices and smartphones to collect raw data.
Raw data is processed, tagged and transformed
Data is audited through network consensus
Dataset is ready to be visualized and exported.
Dataset is ready to be fed to machine learning algorithms
Bystander process

Features

  • Data

    Distinct Data

    Customizable templates allow researchers to collect meaningful data

  • borderless

    Borderless

    Connect with real people all around the world to gather data

  • Graph

    Micro-incentives

    Tokens are earned through participation in data collection & validation

  • Governance

    Governance

    Using a mix of reputation and peer to peer validation to enforce positive engagement, and filter bad actors

  • Sharing

    Interoperable

    Inter-blockchain communication facilitates sharing of resources between different protocols.

  • Development

    Developer Friendly

    Allow modular & flexible development across the Bystander ecosystem

Team

  • Aishwarya Balaji

    Aishwarya Balaji

    Co-founder & CEO

    Aishwarya is the founder and CEO of the Impact Chain Lab. Aishwarya started her career in consulting at PwC working with fortune 500 clients globally with a focus on technology and security in the consumer products space. Her entrepreneurial spirit and business acumen led her to move on and join Build Academy as the first employee. Build Academy is an education technology startup which straddles social impact and the building industry and focuses on crowdsourcing innovative design solutions for building projects. Aishwarya played a key role in shaping the vision, building the business model, fundraising and growing the company. She also was previously an angel investor for 37 Angels, a women-led angel network and NextGen Venture Partners.

    Being a visionary and strategist herself, Aishwarya quickly found herself enamored with blockchain technology and its disruptive potential and is now focused on identifying ways to apply the technology to create solutions in the global development landscape. She is also passionate about developing systems that challenge the current order, promoting women in tech, entrepreneurship and venture capital, and breaking down cultural barriers.

  • Karthik Bupathi

    Karthik Bupathi

    Co-founder & Head of Product

    Karthik is the co-founder and Head of Product at Impact Chain Lab. He actively leverages his exposure in the blockchain space to build products around global development and social impact.

    Karthik first got involved in the blockchain space in 2012 where he ran a bitcoin mining rig from his dorm room. Since then, he has gotten the opportunity to be part of several other projects in the space from both the investment and build side. Strongly believing that India will be the next hub for blockchain innovation, he has been actively involved with rapidly growing a developer team in Hyderabad. Through this, he aspires to raise awareness of India’s blockchain competence on the global stage and so to provide robust blockchain solutions to not only India, but everywhere.

    He has also held positions as a research analyst at HRA (Healthcare Research & Analytics), and more recently as markets analyst at BNY Mellon where he focused on collateral and segregation.

  • Aadya Shukla

    Aadya Shukla

    Research Scientist

    Aadya is Impact Chain Lab’s Head of Research and Technology and has a deep passion for using technologies as a tool to mine data into knowledge, transform knowledge into innovation and connect innovation with social good. Aadya also conducts research at the MIT Computer Science and Artificial Intelligence Lab with eighteen years of prior experience of working with both symbolic and non-symbolic AI technologies. Prior to joining MIT, Aadya served as the Science, Technology and Public Policy Fellow at Harvard Kennedy School enabling her cybersecurity work with the US DoD. She was also a Microsoft Research Doctoral Scholar conducting research at Oxford on the semantic interoperation problem in large-scale information systems for cancer informatics.

    Aadya has special interests in Cognitive Computing, Cybersecurity, Trustworthy Information System Design for Critical Infrastructure and harnessing AI techniques for complex domains. She has worked and consulted on the human genome project, the use of trustworthy computing in electronic governance, medical informatics and public health, applications of AI to combat-cross channel digital fraud, and areas of expert system design. Aadya is also an educator and has taught Computer Science and Cybersecurity at Harvard, Oxford, and Stanford University Centre at Oxford. Aadya has co­-published extensively and has been the recipient of a number of awards, and competitive grants.

  • Jonathan Poczatek

    Jonathan Poczatek

    Systems Architect

    Jonathan is a builder by nature, and is fascinated with the complexity of systems. He has a background in control systems engineering and container architecture.

    Previously, he has help built industrial control systems as well as explored micro-service architecture for HPC. Jon studied computer science at the University of Michigan.

  • Alicia Noel

    Alicia Noel

    Partnerships Lead

    Alicia is Impact Chain Lab’s Partnerships Lead and Supply Chain & Agriculture SME. Alicia is also the founder of Cultivati Inc., where she has conducted research on companies are using blockchain in food supply chains, and consulted with companies that are developing and implementing initiatives that use blockchain to address supply chain challenges. Alicia is also an avid public speaker helping people understand how blockchain is enabling change in the food and agriculture industry after she saw a string of food safety scandals cause illness and concern about the food supply chain, living in Beijing from 2008 to 2014.

    While in Beijing, Alicia worked with the United Nations Industrial Development Organization - Investment and Technology Promotion Office to promote industrial development in third tier cities across China, and taught business to undergraduate and Executive MBA students at China Agricultural University. Since returning to the US she has consulted with a range of organizations on food safety issues in China, food supply chain innovation, operations, communications, and the United Nations Sustainable Development Goals. Alicia is also an advisor and judge for sustainable seafood business competition Fish 2.0, and a mentor with food business accelerator Food-X and the Blockchain for Social Impact Decentralized Impact Incubator.

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